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Kehinde O. Babaagba
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2020 – today
- 2024
- [c12]Kehinde O. Babaagba
, Ritwik Murali
Exploring the use of fitness landscape analysis for understanding malware evolution. GECCO Companion 2024: 77-78 - 2023
- [c11]Ahsen Tahir, Zhiyuan Tan, Kehinde O. Babaagba:
Can Federated Models Be Rectified Through Learning Negative Gradients? BDTA 2023: 18-32 - [c10]Ayodeji Oke, Kehinde O. Babaagba
Image Forgery Detection Using Cryptography and Deep Learning. BDTA 2023: 62-78 - [c9]Kehinde O. Babaagba
Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware. EvoApplications@EvoStar 2023: 161-176 - [c8]Kehinde O. Babaagba
An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware. GECCO Companion 2023: 1753-1759 - [c7]Luis Romero Gomez
Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques. ICISS 2023: 113-118 - [c6]Aidan Spalding, Zhiyuan Tan, Kehinde O. Babaagba:
Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices. TrustCom 2023: 1751-1756 - 2022
- [j1]Fangwei Wang
Toward machine intelligence that learns to fingerprint polymorphic worms in IoT. Int. J. Intell. Syst. 37(10): 7058-7078 (2022) - [c5]Leigh Turnbull, Zhiyuan Tan, Kehinde O. Babaagba:
A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling. DSC 2022: 1-9 - [c4]Ross A. J. McLaren, Kehinde O. Babaagba
A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs. LOD (2) 2022: 32-46 - [e1]Juan Luis Jiménez Laredo
Applications of Evolutionary Computation - 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings. Lecture Notes in Computer Science 13224, Springer 2022, ISBN 978-3-031-02461-0 [contents] - 2021
- [b1]Kehinde O. Babaagba:
Application of evolutionary machine learning in metamorphic malware analysis and detection. Edinburgh Napier University, UK, 2021 - 2020
- [c3]Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart:
Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. CEC 2020: 1-7 - [c2]Kehinde O. Babaagba
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. EvoApplications 2020: 117-132
2010 – 2019
- 2019
- [c1]Kehinde O. Babaagba
Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme. DependSys 2019: 369-382
Coauthor Index
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last updated on 2024-11-15 20:42 CET by the dblp team
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